﻿Each .npy contains a multidimensional array of shape (4, 2, 2)


How to navigate:
* Read .npy file in using np.load with option allow_pickle=True
* Ex: m1_data = np.load(‘M1.npy’, allow_pickle = True)


IMAGES
* CARS images left ear: m1_data[0][0][0]
* SRS images left ear: m1_data[0][0][1]
* CARS images right ear: m1_data[0][1][0]
* SRS images right ear: m1_data[0][1][1]

FILENAMES
   * CARS filenames left ear: m1_data[3][0][0]
   * SRS filenames left ear: m1_data[3][0][1]
   * CARS filenames right ear: m1_data[3][1][0]
   * SRS filenames right ear: m1_data[3][1][1] 


THICKNESS MEASUREMENTS
   * Thickness left ear: m1_data[2][0][1]
   * Thickness right ear: m1_data[2][1][1] 


ANNOTATIONS
   * Annotationsleft ear: m1_data[1][0][0]
   * Annotations right ear: m1_data[1][1][0]